Mathematics Expert (India) Part-Time Remote
Listing checked September 18, 2026 · pay as published by Handshake AI
Overview
Handshake AI offers this fellowship as an ongoing, part-time contract for mathematicians and research scientists who can improve model reasoning in pure and applied math. You judge AI answers for proof rigor, formalization, and computational correctness. The schedule stays open, so you can keep the project alongside a current academic or industry role. Contributions center on real mathematics workflows, from symbolic computation to theorem proving.
What You'll Do6
- 1Build original mathematics problems and scenarios that reflect proof writing, formal verification, or computational methods.
- 2Inspect AI responses for mathematical accuracy, logical rigor, and faithfulness to actual practice.
- 3Write structured critiques that point out errors and suggest corrections for model training.
- 4Work through tasks at a pace you choose, with no fixed schedule and no minimum hours.
- 5Apply expertise in a chosen subfield such as algebra, topology, number theory, or combinatorics.
- 6Use theorem provers or symbolic tools when a task calls for formal or computational verification.
Requirements10
- 1PhD in pure or applied mathematics.
- 2First-author publications and a record of formalizing proofs that current AI models struggle with.
- 3Depth in at least one area: proof assistants such as Lean, Coq, or Isabelle.
- 4Background in symbolic computation with SageMath or Mathematica, plus optimization or numerical analysis.
- 5Expertise in a core subfield like algebra, topology, number theory, or combinatorics.
- 6Indian work authorization.
- 7Clear written explanations of advanced mathematical ideas.
- 8Ability to work in a remote, asynchronous setting without direct supervision.
- 9Attention to detail when reviewing technical arguments.
- 10Candidates who satisfy two of the three main criteria may still qualify.
Who Should Apply
A mathematician with a PhD in pure or applied math, first-author publications, and proof work that pushes beyond current model ability fits this project. You should also bring depth in formal methods, symbolic computation, or a core subfield such as algebra or topology. Candidates who want full-time employment, steady weekly hours, or a traditional research position will find the setup a poor match. Applications often score low when they lack Indian work authorization, show no proof formalization examples, or cannot point to a specific sub-domain. A general math background without research output or theorem-prover experience does not meet the bar.
Salary Insight
Handshake AI lists pay at $47.00 per hour. In expert AI training work, rates at this level tend to match PhD-level domain knowledge rather than general annotation tasks.
Location
Compensation
$47/hr
Required Skills
Application Tip
Lead your application with one proof or formalization project that current AI models fail on, and name the proof assistant or symbolic tool you used, such as Lean, Coq, Isabelle, SageMath, or Mathematica. Pair that sample with your first-author publication and the subfield you know best, because reviewers check those signals against the three qualification areas.
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